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AN EXTENSION OF THE RATIO SYSTEM APPROACH OF MOORA METHOD FOR GROUP DECISION-MAKING BASED ON INTERVAL-VALUED TRIANGULAR FUZZY NUMBERS

机译:基于区间值三角模糊数的Moora群决策方法的比例系统方法的扩展

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摘要

Decision-making in fuzzy environment is often a very complex, especially when related to predictions and assessments. The Ratio system approach of the MOORA method and Intervalvalued fuzzy numbers have already proved themselves as the effective tools for solving complex decision-making problems. Therefore, in this paper an extension of the Ratio system approach of the MOORA method, which allows a group decision-making as well as the use of interval-valued triangular fuzzy numbers, is proposed. Interval-fuzzy numbers are rather complex, and therefore, they are not practical for direct assigning performance ratings. For this reason, in this paper it has also been suggested the approach which allows the expression of individual performance ratings using crisp, interval or fuzzy numbers, and their further transformation into the group performance ratings, expressed in the form of interval-valued triangular fuzzy numbers, which provide greater flexibility and reality compared to the use of linguistic variables. Finally, in this paper the weighted averaging operator was proposed for defuzzification of interval-valued triangular fuzzy numbers.
机译:模糊环境中的决策通常非常复杂,尤其是在与预测和评估相关的情况下。 MOORA方法的比率系统方法和区间值模糊数已被证明是解决复杂决策问题的有效工具。因此,本文提出了MOORA方法的比率系统方法的扩展,该方法允许进行群体决策以及使用区间值三角模糊数。间隔模糊数非常复杂,因此,它们对于直接分配性能等级不切实际。因此,在本文中,还提出了一种方法,该方法允许使用明快的,区间的或模糊的数来表达单个绩效等级,并将其进一步转换为以区间值三角模糊形式表示的团体绩效数字,与使用语言变量相比,具有更大的灵活性和现实性。最后,本文提出了加权平均算子对区间值三角模糊数进行去模糊。

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